[{"department":[{"_id":"DaAl"}],"acknowledged_ssus":[{"_id":"ScienComp"}],"status":"public","scopus_import":"1","date_updated":"2026-10-02T11:19:46Z","ec_funded":1,"conference":{"start_date":"2023-05-01","end_date":"2023-05-05","name":"ICLR: International Conference on Learning Representations","location":"Kigali, Rwanda"},"article_processing_charge":"No","_id":"17378","date_created":"2024-08-04T22:01:22Z","has_accepted_license":"1","oa_version":"Published Version","language":[{"iso":"eng"}],"citation":{"apa":"Frantar, E., Ashkboos, S., Hoefler, T., &#38; Alistarh, D.-A. (2023). OPTQ: Accurate post-training quantization for generative pre-trained transformers. In <i>11th International Conference on Learning Representations </i>. Kigali, Rwanda: International Conference on Learning Representations.","chicago":"Frantar, Elias, Saleh Ashkboos, Torsten Hoefler, and Dan-Adrian Alistarh. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” In <i>11th International Conference on Learning Representations </i>. International Conference on Learning Representations, 2023.","ieee":"E. Frantar, S. Ashkboos, T. Hoefler, and D.-A. Alistarh, “OPTQ: Accurate post-training quantization for generative pre-trained transformers,” in <i>11th International Conference on Learning Representations </i>, Kigali, Rwanda, 2023.","mla":"Frantar, Elias, et al. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” <i>11th International Conference on Learning Representations </i>, International Conference on Learning Representations, 2023.","ama":"Frantar E, Ashkboos S, Hoefler T, Alistarh D-A. OPTQ: Accurate post-training quantization for generative pre-trained transformers. In: <i>11th International Conference on Learning Representations </i>. International Conference on Learning Representations; 2023.","short":"E. Frantar, S. Ashkboos, T. Hoefler, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023.","ista":"Frantar E, Ashkboos S, Hoefler T, Alistarh D-A. 2023. OPTQ: Accurate post-training quantization for generative pre-trained transformers. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations."},"related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"17485"}],"link":[{"url":"https://github.com/IST-DASLab/gptq","relation":"software"}]},"file_date_updated":"2024-08-05T07:52:44Z","author":[{"first_name":"Elias","id":"09a8f98d-ec99-11ea-ae11-c063a7b7fe5f","last_name":"Frantar","full_name":"Frantar, Elias"},{"last_name":"Ashkboos","full_name":"Ashkboos, Saleh","first_name":"Saleh"},{"first_name":"Torsten","full_name":"Hoefler, Torsten","last_name":"Hoefler"},{"last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"text":"Generative Pre-trained Transformer models, known as GPT or OPT, set themselves apart through breakthrough performance across complex language modelling tasks, but also by their extremely high computational and storage costs. Specifically, due to their massive size, even inference for large, highly-accurate GPT models may require multiple performant GPUs, which limits the usability of such models. While there is emerging work on relieving this pressure via model compression, the applicability and performance of existing compression techniques is limited by the scale and complexity of GPT models. In this paper, we address this challenge, and propose OPTQ, a new one-shot weight quantization method based on approximate second-order information, that is both highly-accurate and highly-efficient. Specifically, OPTQ can quantize GPT models with 175 billion parameters in approximately four GPU hours, reducing the bitwidth down to 3 or 4 bits per weight, with negligible accuracy degradation relative to the uncompressed baseline. Our method more than doubles the compression gains relative to previously-proposed one-shot quantization methods, preserving accuracy, allowing us for the first time to execute an 175 billion-parameter model inside a single GPU for generative inference. Moreover, we also show that our method can still provide reasonable accuracy in the extreme quantization regime, in which weights are quantized to 2-bit or even ternary quantization levels. We show experimentally that these improvements can be leveraged for end-to-end inference speedups over FP16, of around 3.25x when using high-end GPUs (NVIDIA A100) and 4.5x when using more cost-effective ones (NVIDIA A6000). The implementation is available at https://github.com/IST-DASLab/gptq.","lang":"eng"}],"corr_author":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"International Conference on Learning Representations","publication_status":"published","quality_controlled":"1","oa":1,"project":[{"_id":"268A44D6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"805223","name":"Elastic Coordination for Scalable Machine Learning"}],"publication":"11th International Conference on Learning Representations ","day":"01","ddc":["000"],"type":"conference","year":"2023","date_published":"2023-05-01T00:00:00Z","file":[{"date_updated":"2024-08-05T07:52:44Z","file_name":"2023_ICLR_Frantar.pdf","checksum":"aacbf11dbd8b02a3e0bfd942a33e0593","file_id":"17385","file_size":437492,"content_type":"application/pdf","date_created":"2024-08-05T07:52:44Z","creator":"dernst","access_level":"open_access","relation":"main_file","success":1}],"acknowledgement":"Elias Frantar and Dan Alistarh gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement No. 805223 ScaleML), as well as experimental support from Eldar Kurtic, and from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. The work of Saleh Ashkboos and Torsten Hoefler was supported by the PASC DaCeMI project, received EuroHPC-JU funding under grant MAELSTROM, No. 955513. We thank the Swiss National Supercomputing Center (CSCS) for supporting us with compute infrastructure.","month":"05","title":"OPTQ: Accurate post-training quantization for generative pre-trained transformers"},{"publication_status":"published","quality_controlled":"1","arxiv":1,"oa":1,"project":[{"name":"Elastic Coordination for Scalable Machine Learning","grant_number":"805223","call_identifier":"H2020","_id":"268A44D6-B435-11E9-9278-68D0E5697425"}],"publication_identifier":{"eissn":["2640-3498"]},"related_material":{"record":[{"relation":"dissertation_contains","id":"17485","status":"public"}]},"citation":{"ieee":"E. Frantar and D.-A. Alistarh, “SparseGPT: Massive language models can be accurately pruned in one-shot,” in <i>Proceedings of the 40th International Conference on Machine Learning</i>, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 10323–10337.","mla":"Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” <i>Proceedings of the 40th International Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 10323–37.","chicago":"Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” In <i>Proceedings of the 40th International Conference on Machine Learning</i>, 202:10323–37. ML Research Press, 2023.","apa":"Frantar, E., &#38; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.","ista":"Frantar E, Alistarh D-A. 2023. SparseGPT: Massive language models can be accurately pruned in one-shot. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10323–10337.","short":"E. Frantar, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10323–10337.","ama":"Frantar E, Alistarh D-A. SparseGPT: Massive language models can be accurately pruned in one-shot. In: <i>Proceedings of the 40th International Conference on Machine Learning</i>. Vol 202. ML Research Press; 2023:10323-10337."},"author":[{"full_name":"Frantar, Elias","last_name":"Frantar","id":"09a8f98d-ec99-11ea-ae11-c063a7b7fe5f","first_name":"Elias"},{"orcid":"0000-0003-3650-940X","first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian"}],"abstract":[{"text":"We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models. We can execute SparseGPT on the largest available open-source models, OPT-175B and BLOOM-176B, in under 4.5 hours, and can reach 60% unstructured sparsity with negligible increase in perplexity: remarkably, more than 100 billion weights from these models can be ignored at inference time. SparseGPT generalizes to semi-structured (2:4 and 4:8) patterns, and is compatible with weight quantization approaches. The code is available at: https://github.com/IST-DASLab/sparsegpt.","lang":"eng"}],"corr_author":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"ML Research Press","year":"2023","acknowledgement":"The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement No. 805223 ScaleML), as well as experimental support from Eldar Kurtic, and from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl.","date_published":"2023-07-30T00:00:00Z","title":"SparseGPT: Massive language models can be accurately pruned in one-shot","month":"07","publication":"Proceedings of the 40th International Conference on Machine Learning","day":"30","type":"conference","intvolume":"       202","page":"10323-10337","scopus_import":"1","date_updated":"2026-10-02T11:19:46Z","article_processing_charge":"No","conference":{"name":"ICML: International Conference on Machine Learning","location":"Honolulu, Hawaii, HI, United States","start_date":"2023-07-23","end_date":"2023-07-29"},"ec_funded":1,"_id":"14458","department":[{"_id":"DaAl"}],"acknowledged_ssus":[{"_id":"ScienComp"}],"status":"public","external_id":{"arxiv":["2301.00774"]},"alternative_title":["PMLR"],"volume":202,"date_created":"2023-10-29T23:01:16Z","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2301.00774","open_access":"1"}],"oa_version":"Preprint","language":[{"iso":"eng"}]},{"external_id":{"arxiv":["2302.02390"]},"volume":202,"alternative_title":["PMLR"],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2302.02390"}],"language":[{"iso":"eng"}],"oa_version":"Preprint","date_created":"2023-10-29T23:01:17Z","conference":{"end_date":"2023-07-29","start_date":"2023-07-23","location":"Honolulu, Hawaii, HI, United States","name":"ICML: International Conference on Machine Learning"},"article_processing_charge":"No","ec_funded":1,"_id":"14461","page":"24020-24044","date_updated":"2026-10-02T11:20:05Z","scopus_import":"1","status":"public","acknowledged_ssus":[{"_id":"ScienComp"}],"department":[{"_id":"DaAl"}],"date_published":"2023-07-30T00:00:00Z","acknowledgement":"The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML), as well as experimental support from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. AV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-21-CE48-0016 (project COMCOPT), the support of Fondation Hadamard with a PRMO grant, and the support of CNRS with a CoopIntEER IEA grant (project ALFRED).","title":"Quantized distributed training of large models with convergence guarantees","month":"07","year":"2023","intvolume":"       202","type":"conference","day":"30","publication":"Proceedings of the 40th International Conference on Machine Learning","oa":1,"arxiv":1,"project":[{"name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"805223"}],"publication_identifier":{"eissn":["2640-3498"]},"publication_status":"published","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"ML Research Press","author":[{"full_name":"Markov, Ilia","last_name":"Markov","id":"D0CF4148-C985-11E9-8066-0BDEE5697425","first_name":"Ilia"},{"full_name":"Vladu, Adrian","last_name":"Vladu","first_name":"Adrian"},{"last_name":"Guo","full_name":"Guo, Qi","first_name":"Qi"},{"id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X","first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian"}],"related_material":{"record":[{"id":"17490","status":"public","relation":"dissertation_contains"}]},"citation":{"ista":"Markov I, Vladu A, Guo Q, Alistarh D-A. 2023. Quantized distributed training of large models with convergence guarantees. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 24020–24044.","short":"I. Markov, A. Vladu, Q. Guo, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 24020–24044.","ama":"Markov I, Vladu A, Guo Q, Alistarh D-A. Quantized distributed training of large models with convergence guarantees. In: <i>Proceedings of the 40th International Conference on Machine Learning</i>. Vol 202. ML Research Press; 2023:24020-24044.","mla":"Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” <i>Proceedings of the 40th International Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 24020–44.","ieee":"I. Markov, A. Vladu, Q. Guo, and D.-A. Alistarh, “Quantized distributed training of large models with convergence guarantees,” in <i>Proceedings of the 40th International Conference on Machine Learning</i>, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 24020–24044.","chicago":"Markov, Ilia, Adrian Vladu, Qi Guo, and Dan-Adrian Alistarh. “Quantized Distributed Training of Large Models with Convergence Guarantees.” In <i>Proceedings of the 40th International Conference on Machine Learning</i>, 202:24020–44. ML Research Press, 2023.","apa":"Markov, I., Vladu, A., Guo, Q., &#38; Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press."},"corr_author":"1","abstract":[{"text":"Communication-reduction techniques are a popular way to improve scalability in data-parallel training of deep neural networks (DNNs). The recent emergence of large language models such as GPT has created the need for new approaches to exploit data-parallelism. Among these, fully-sharded data parallel (FSDP) training is highly popular, yet it still encounters scalability bottlenecks. One reason is that applying compression techniques to FSDP is challenging: as the vast majority of the communication involves the model’s weights, direct compression alters convergence and leads to accuracy loss. We present QSDP, a variant of FSDP which supports both gradient and weight quantization with theoretical guarantees, is simple to implement and has essentially no overheads. To derive QSDP we prove that a natural modification of SGD achieves convergence even when we only maintain quantized weights, and thus the domain over which we train consists of quantized points and is, therefore, highly non-convex. We validate this approach by training GPT-family models with up to 1.3 billion parameters on a multi-node cluster. Experiments show that QSDP preserves model accuracy, while completely removing the communication bottlenecks of FSDP, providing end-to-end speedups of up to 2.2x.","lang":"eng"}]},{"day":"30","publication":"Proceedings of the 40th International Conference on Machine Learning","intvolume":"       202","type":"conference","year":"2023","date_published":"2023-07-30T00:00:00Z","acknowledgement":"Aleksandr Shevchenko, Kevin Kogler and Marco Mondelli are supported by the 2019 Lopez-Loreta Prize. Hamed Hassani acknowledges the support by the NSF CIF award (1910056) and the NSF Institute for CORE Emerging Methods in Data Science (EnCORE).","month":"07","title":"Fundamental limits of two-layer autoencoders, and achieving them with gradient methods","author":[{"last_name":"Shevchenko","full_name":"Shevchenko, Aleksandr","first_name":"Aleksandr","id":"F2B06EC2-C99E-11E9-89F0-752EE6697425"},{"id":"94ec913c-dc85-11ea-9058-e5051ab2428b","first_name":"Kevin","full_name":"Kögler, Kevin","last_name":"Kögler"},{"last_name":"Hassani","full_name":"Hassani, Hamed","first_name":"Hamed"},{"full_name":"Mondelli, Marco","last_name":"Mondelli","first_name":"Marco","id":"27EB676C-8706-11E9-9510-7717E6697425","orcid":"0000-0002-3242-7020"}],"citation":{"apa":"Shevchenko, A., Kögler, K., Hassani, H., &#38; Mondelli, M. (2023). Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol. 202, pp. 31151–31209). Honolulu, Hawaii, HI, United States: ML Research Press.","chicago":"Shevchenko, Alexander, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In <i>Proceedings of the 40th International Conference on Machine Learning</i>, 202:31151–209. ML Research Press, 2023.","ieee":"A. Shevchenko, K. Kögler, H. Hassani, and M. Mondelli, “Fundamental limits of two-layer autoencoders, and achieving them with gradient methods,” in <i>Proceedings of the 40th International Conference on Machine Learning</i>, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 31151–31209.","mla":"Shevchenko, Alexander, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” <i>Proceedings of the 40th International Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 31151–209.","short":"A. Shevchenko, K. Kögler, H. Hassani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 31151–31209.","ama":"Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: <i>Proceedings of the 40th International Conference on Machine Learning</i>. Vol 202. ML Research Press; 2023:31151-31209.","ista":"Shevchenko A, Kögler K, Hassani H, Mondelli M. 2023. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 31151–31209."},"related_material":{"record":[{"status":"public","id":"17465","relation":"dissertation_contains"}]},"corr_author":"1","abstract":[{"lang":"eng","text":"Autoencoders are a popular model in many branches of machine learning and lossy data compression. However, their fundamental limits, the performance of gradient methods and the features learnt during optimization remain poorly understood, even in the two-layer setting. In fact, earlier work has considered either linear autoencoders or specific training regimes (leading to vanishing or diverging compression rates). Our paper addresses this gap by focusing on non-linear two-layer autoencoders trained in the challenging proportional regime in which the input dimension scales linearly with the size of the representation. Our results characterize the minimizers of the population risk, and show that such minimizers are achieved by gradient methods; their structure is also unveiled, thus leading to a concise description of the features obtained via training. For the special case of a sign activation function, our analysis establishes the fundamental limits for the lossy compression of Gaussian sources via (shallow) autoencoders. Finally, while the results are proved for Gaussian data, numerical simulations on standard datasets display the universality of the theoretical predictions."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"ML Research Press","publication_status":"published","quality_controlled":"1","oa":1,"arxiv":1,"publication_identifier":{"eissn":["2640-3498"]},"project":[{"name":"Prix Lopez-Loretta 2019 - Marco Mondelli","_id":"059876FA-7A3F-11EA-A408-12923DDC885E"}],"date_created":"2023-10-29T23:01:17Z","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2212.13468","open_access":"1"}],"language":[{"iso":"eng"}],"oa_version":"Preprint","external_id":{"arxiv":["2212.13468"]},"volume":202,"alternative_title":["PMLR"],"department":[{"_id":"MaMo"},{"_id":"DaAl"}],"status":"public","page":"31151-31209","date_updated":"2026-10-02T11:20:31Z","scopus_import":"1","conference":{"start_date":"2023-07-23","end_date":"2023-07-29","location":"Honolulu, Hawaii, HI, United States","name":"ICML: International Conference on Machine Learning"},"article_processing_charge":"No","_id":"14459"},{"type":"journal_article","article_type":"original","intvolume":"         9","issue":"3","ddc":["570"],"publication":"Science Advances","day":"20","title":"ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning","month":"01","acknowledgement":"We would like to thank K. von Peinen and B. Denker (Helmholtz Centre for Infection Research, Braunschweig, Germany) for experimental and technical assistance, respectively.\r\nThis research was supported by the Scientific Service Units (SSUs) of ISTA through resources provided by Scientific Computing (SciComp), the Life Science Facility (LSF), the Imaging and Optics facility (IOF), and the Electron Microscopy Facility (EMF). We acknowledge support from ISTA and from the Austrian Science Fund (FWF) (P33367) to F.K.M.S., from the Research Training Group GRK2223 and the Helmholtz Society to K.R,. and from the Deutsche Forschungsgemeinschaft (DFG) to J.F. and K.R.","date_published":"2023-01-20T00:00:00Z","file":[{"content_type":"application/pdf","file_size":1756234,"file_id":"12335","checksum":"ce81a6d0b84170e5e8c62f6acfa15d9e","file_name":"2023_ScienceAdvances_Faessler.pdf","date_updated":"2023-01-23T07:45:54Z","relation":"main_file","success":1,"creator":"dernst","access_level":"open_access","date_created":"2023-01-23T07:45:54Z"}],"year":"2023","publisher":"American Association for the Advancement of Science","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"text":"Regulation of the Arp2/3 complex is required for productive nucleation of branched actin networks. An emerging aspect of regulation is the incorporation of subunit isoforms into the Arp2/3 complex. Specifically, both ArpC5 subunit isoforms, ArpC5 and ArpC5L, have been reported to fine-tune nucleation activity and branch junction stability. We have combined reverse genetics and cellular structural biology to describe how ArpC5 and ArpC5L differentially affect cell migration. Both define the structural stability of ArpC1 in branch junctions and, in turn, by determining protrusion characteristics, affect protein dynamics and actin network ultrastructure. ArpC5 isoforms also affect the positioning of members of the Ena/Vasodilator-stimulated phosphoprotein (VASP) family of actin filament elongators, which mediate ArpC5 isoform–specific effects on the actin assembly level. Our results suggest that ArpC5 and Ena/VASP proteins are part of a signaling pathway enhancing cell migration.</jats:p>","lang":"eng"}],"pmid":1,"corr_author":"1","file_date_updated":"2023-01-23T07:45:54Z","related_material":{"record":[{"status":"public","id":"14562","relation":"research_data"},{"id":"22744","status":"public","relation":"dissertation_contains"},{"relation":"dissertation_contains","status":"public","id":"18766"}]},"citation":{"apa":"Fäßler, F., Javoor, M., Datler, J., Döring, H., Hofer, F., Dimchev, G. A., … Schur, F. K. (2023). ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. <i>Science Advances</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/sciadv.add6495\">https://doi.org/10.1126/sciadv.add6495</a>","chicago":"Fäßler, Florian, Manjunath Javoor, Julia Datler, Hermann Döring, Florian Hofer, Georgi A Dimchev, Victor-Valentin Hodirnau, Jan Faix, Klemens Rottner, and Florian KM Schur. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” <i>Science Advances</i>. American Association for the Advancement of Science, 2023. <a href=\"https://doi.org/10.1126/sciadv.add6495\">https://doi.org/10.1126/sciadv.add6495</a>.","ieee":"F. Fäßler <i>et al.</i>, “ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning,” <i>Science Advances</i>, vol. 9, no. 3. American Association for the Advancement of Science, 2023.","mla":"Fäßler, Florian, et al. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” <i>Science Advances</i>, vol. 9, no. 3, add6495, American Association for the Advancement of Science, 2023, doi:<a href=\"https://doi.org/10.1126/sciadv.add6495\">10.1126/sciadv.add6495</a>.","short":"F. Fäßler, M. Javoor, J. Datler, H. Döring, F. Hofer, G.A. Dimchev, V.-V. Hodirnau, J. Faix, K. Rottner, F.K. Schur, Science Advances 9 (2023).","ama":"Fäßler F, Javoor M, Datler J, et al. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. <i>Science Advances</i>. 2023;9(3). doi:<a href=\"https://doi.org/10.1126/sciadv.add6495\">10.1126/sciadv.add6495</a>","ista":"Fäßler F, Javoor M, Datler J, Döring H, Hofer F, Dimchev GA, Hodirnau V-V, Faix J, Rottner K, Schur FK. 2023. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. 9(3), add6495."},"author":[{"full_name":"Fäßler, Florian","last_name":"Fäßler","first_name":"Florian","orcid":"0000-0001-7149-769X","id":"404F5528-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Javoor","full_name":"Javoor, Manjunath","orcid":"0000-0003-2311-2112","first_name":"Manjunath","id":"305ab18b-dc7d-11ea-9b2f-b58195228ea2"},{"orcid":"0000-0002-3616-8580","first_name":"Julia","id":"3B12E2E6-F248-11E8-B48F-1D18A9856A87","last_name":"Datler","full_name":"Datler, Julia"},{"first_name":"Hermann","last_name":"Döring","full_name":"Döring, Hermann"},{"first_name":"Florian","id":"b9d234ba-9e33-11ed-95b6-cd561df280e6","full_name":"Hofer, Florian","last_name":"Hofer"},{"full_name":"Dimchev, Georgi A","last_name":"Dimchev","orcid":"0000-0001-8370-6161","first_name":"Georgi A","id":"38C393BE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Hodirnau, Victor-Valentin","last_name":"Hodirnau","first_name":"Victor-Valentin","orcid":"0000-0003-3904-947X","id":"3661B498-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jan","full_name":"Faix, Jan","last_name":"Faix"},{"last_name":"Rottner","full_name":"Rottner, Klemens","first_name":"Klemens"},{"last_name":"Schur","full_name":"Schur, Florian KM","id":"48AD8942-F248-11E8-B48F-1D18A9856A87","first_name":"Florian KM","orcid":"0000-0003-4790-8078"}],"publication_identifier":{"issn":["2375-2548"]},"project":[{"name":"Structure and isoform diversity of the Arp2/3 complex","_id":"9B954C5C-BA93-11EA-9121-9846C619BF3A","grant_number":"P33367"}],"oa":1,"quality_controlled":"1","publication_status":"published","oa_version":"Published Version","language":[{"iso":"eng"}],"has_accepted_license":"1","isi":1,"date_created":"2023-01-23T07:26:42Z","volume":9,"external_id":{"pmid":["36662867"],"isi":["000964550100015"]},"fulldoi":"https://doi.org/10.1126/sciadv.add6495","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"EM-Fac"}],"status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"article_number":"add6495","department":[{"_id":"FlSc"},{"_id":"EM-Fac"}],"doi":"10.1126/sciadv.add6495","_id":"12334","article_processing_charge":"No","date_updated":"2026-10-02T11:21:19Z","scopus_import":"1","keyword":["Multidisciplinary"]},{"date_updated":"2026-10-02T11:25:17Z","publication_status":"draft","_id":"17351","doi":"10.48550/arXiv.2308.00516","arxiv":1,"article_processing_charge":"No","oa":1,"abstract":[{"lang":"eng","text":"Contractive coupling rates have been recently introduced by Conforti as a\r\ntool to establish convex Sobolev inequalities (including modified log-Sobolev\r\nand Poincar\\'{e} inequality) for some classes of Markov chains. In this work,\r\nwe show how contractive coupling rates can also be used to prove stronger\r\ninequalities, in the form of curvature lower bounds for Markov chains and\r\ngeodesic convexity of entropic functionals. We illustrate this in several\r\nexamples discussed by Conforti, where in particular, after appropriately\r\nchoosing a parameter function, we establish positive curvature in the entropic\r\nand (discrete) Bakry--\\'{E}mery sense. In addition, we recall and give\r\nstraightforward generalizations of some notions of coarse Ricci curvature, and\r\nwe discuss some of their properties and relations with the concepts of\r\ncouplings and coupling rates: as an application, we show exponential\r\ncontraction of the $p$-Wasserstein distance for the heat flow in the\r\naforementioned examples."}],"corr_author":"1","citation":{"apa":"Pedrotti, F. (n.d.). Contractive coupling rates and curvature lower bounds for Markov chains. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2308.00516\">https://doi.org/10.48550/arXiv.2308.00516</a>","ieee":"F. Pedrotti, “Contractive coupling rates and curvature lower bounds for Markov chains,” <i>arXiv</i>. .","chicago":"Pedrotti, Francesco. “Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2308.00516\">https://doi.org/10.48550/arXiv.2308.00516</a>.","mla":"Pedrotti, Francesco. “Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains.” <i>ArXiv</i>, 2308.00516, doi:<a href=\"https://doi.org/10.48550/arXiv.2308.00516\">10.48550/arXiv.2308.00516</a>.","short":"F. Pedrotti, ArXiv (n.d.).","ama":"Pedrotti F. Contractive coupling rates and curvature lower bounds for Markov chains. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2308.00516\">10.48550/arXiv.2308.00516</a>","ista":"Pedrotti F. Contractive coupling rates and curvature lower bounds for Markov chains. arXiv, 2308.00516."},"related_material":{"record":[{"status":"public","id":"20040","relation":"later_version"},{"status":"public","id":"17336","relation":"dissertation_contains"}]},"article_number":"2308.00516","department":[{"_id":"JaMa"}],"author":[{"id":"d3ac8ac6-dc8d-11ea-abe3-e2a9628c4c3c","first_name":"Francesco","full_name":"Pedrotti, Francesco","last_name":"Pedrotti"}],"OA_place":"repository","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"arxiv":["2308.00516"]},"year":"2023","fulldoi":"https://doi.org/10.48550/arXiv.2308.00516","title":"Contractive coupling rates and curvature lower bounds for Markov chains","month":"08","date_published":"2023-08-02T00:00:00Z","publication":"arXiv","date_created":"2024-07-31T08:02:16Z","day":"02","oa_version":"Preprint","language":[{"iso":"eng"}],"type":"preprint","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2308.00516"}]},{"month":"08","title":"Dense 4D nanoscale reconstruction of living brain tissue","file":[{"relation":"main_file","success":1,"access_level":"open_access","creator":"dernst","date_created":"2025-02-26T08:01:57Z","content_type":"application/pdf","file_size":14103039,"date_updated":"2025-02-26T08:01:57Z","file_id":"19088","checksum":"a68e845780a82ea36d0d4d3212a87c10","file_name":"2023_NatureMethods_Velicky.pdf"}],"acknowledgement":"We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.).","date_published":"2023-08-01T00:00:00Z","year":"2023","type":"journal_article","article_type":"original","intvolume":"        20","ddc":["570"],"OA_type":"hybrid","publication":"Nature Methods","day":"01","project":[{"call_identifier":"FWF","grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","name":"Optical control of synaptic function via adhesion molecules"},{"name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232","call_identifier":"FWF"},{"name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"name":"High content imaging to decode human immune cell interactions in health and allergic disease","_id":"23889792-32DE-11EA-91FC-C7463DDC885E","grant_number":"LS18-022"},{"grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program"},{"name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","_id":"24F9549A-B435-11E9-9278-68D0E5697425","grant_number":"715767","call_identifier":"H2020"},{"name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","_id":"25444568-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"715508"},{"name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","call_identifier":"H2020","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"name":"Synaptic computations of the hippocampal CA3 circuitry","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","grant_number":"101026635","call_identifier":"H2020"},{"grant_number":"LT00057","_id":"2668BFA0-B435-11E9-9278-68D0E5697425","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration"}],"publication_identifier":{"eissn":["1548-7105"],"issn":["1548-7091"]},"oa":1,"quality_controlled":"1","publication_status":"published","publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue."}],"corr_author":"1","pmid":1,"related_material":{"link":[{"url":"https://github.com/danzllab/LIONESS","relation":"software"}],"record":[{"relation":"research_data","id":"12817","status":"public"},{"status":"public","id":"14770","relation":"shorter_version"},{"relation":"earlier_version","status":"public","id":"11943"},{"relation":"dissertation_contains","id":"18674","status":"public"}]},"citation":{"apa":"Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>","mla":"Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>.","ieee":"P. Velicky <i>et al.</i>, “Dense 4D nanoscale reconstruction of living brain tissue,” <i>Nature Methods</i>, vol. 20. Springer Nature, pp. 1256–1265, 2023.","chicago":"Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>.","ama":"Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. 2023;20:1256-1265. doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>","short":"P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265.","ista":"Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265."},"file_date_updated":"2025-02-26T08:01:57Z","author":[{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431","first_name":"Philipp","full_name":"Velicky, Philipp","last_name":"Velicky"},{"first_name":"Eder","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5665-0430","full_name":"Miguel Villalba, Eder","last_name":"Miguel Villalba"},{"orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","first_name":"Julia M","last_name":"Michalska","full_name":"Michalska, Julia M"},{"full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Donglai","full_name":"Wei, Donglai","last_name":"Wei"},{"first_name":"Zudi","last_name":"Lin","full_name":"Lin, Zudi"},{"full_name":"Watson, Jake","last_name":"Watson","first_name":"Jake","orcid":"0000-0002-8698-3823","id":"63836096-4690-11EA-BD4E-32803DDC885E"},{"full_name":"Troidl, Jakob","last_name":"Troidl","first_name":"Jakob"},{"full_name":"Beyer, Johanna","last_name":"Beyer","first_name":"Johanna"},{"last_name":"Ben Simon","full_name":"Ben Simon, Yoav","id":"43DF3136-F248-11E8-B48F-1D18A9856A87","first_name":"Yoav"},{"last_name":"Sommer","full_name":"Sommer, Christoph M","first_name":"Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"last_name":"Jahr","full_name":"Jahr, Wiebke","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","first_name":"Wiebke","orcid":"0000-0003-0201-2315"},{"last_name":"Cenameri","full_name":"Cenameri, Alban","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"full_name":"Broichhagen, Johannes","last_name":"Broichhagen","first_name":"Johannes"},{"full_name":"Grant, Seth G.N.","last_name":"Grant","first_name":"Seth G.N."},{"full_name":"Jonas, Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","first_name":"Gaia","full_name":"Novarino, Gaia","last_name":"Novarino"},{"full_name":"Pfister, Hanspeter","last_name":"Pfister","first_name":"Hanspeter"},{"id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385","first_name":"Bernd","last_name":"Bickel","full_name":"Bickel, Bernd"},{"first_name":"Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G","last_name":"Danzl"}],"volume":20,"external_id":{"isi":["001025621500001"],"pmid":["37429995"]},"fulldoi":"https://doi.org/10.1038/s41592-023-01936-6","oa_version":"Published Version","language":[{"iso":"eng"}],"has_accepted_license":"1","isi":1,"date_created":"2023-07-23T22:01:13Z","doi":"10.1038/s41592-023-01936-6","_id":"13267","ec_funded":1,"article_processing_charge":"Yes (in subscription journal)","date_updated":"2026-10-02T11:27:12Z","scopus_import":"1","page":"1256-1265","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"OA_place":"publisher","status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}]},{"volume":14,"external_id":{"isi":["001024729900009"],"pmid":["37407570"]},"fulldoi":"https://doi.org/10.1038/s41467-023-39656-2","oa_version":"Published Version","language":[{"iso":"eng"}],"has_accepted_license":"1","isi":1,"date_created":"2023-07-16T22:01:08Z","doi":"10.1038/s41467-023-39656-2","_id":"13227","article_processing_charge":"No","scopus_import":"1","date_updated":"2026-10-02T11:28:16Z","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"NanoFab"}],"status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"article_number":"3968","department":[{"_id":"JoFi"}],"title":"Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours","month":"07","date_published":"2023-07-05T00:00:00Z","acknowledgement":"The authors thank J. Koch for discussions and support with the scQubits python package, I. Rozhansky and A. Poddubny for important insights into photon-assisted tunneling, S. Barzanjeh and G. Arnold for theory, E. Redchenko, S. Pepic, the MIBA workshop and the IST nanofabrication facility for technical contributions, as well as L. Drmic, P. Zielinski and R. Sett for software development. We acknowledge the prompt support of Quantum Machines to implement active state preparation with their OPX+. This work was supported by a NOMIS foundation research grant (J.F.), the Austrian Science Fund (FWF) through BeyondC F7105 (J.F.) and IST Austria.","file":[{"success":1,"relation":"main_file","date_created":"2023-07-18T08:43:07Z","access_level":"open_access","creator":"dernst","file_size":2899592,"content_type":"application/pdf","checksum":"a85773b5fe23516f60f7d5d31b55c200","file_name":"2023_NatureComm_Hassani.pdf","file_id":"13248","date_updated":"2023-07-18T08:43:07Z"}],"year":"2023","type":"journal_article","intvolume":"        14","article_type":"original","ddc":["530"],"publication":"Nature Communications","day":"05","project":[{"name":"Hybrid Semiconductor - Superconductor Quantum Devices","_id":"2622978C-B435-11E9-9278-68D0E5697425"},{"grant_number":"F07105","_id":"bdb108fd-d553-11ed-ba76-83dc74a9864f","name":"QUANTUM INFORMATION SYSTEMS BEYOND CLASSICAL CAPABILITIES / P5- Integration of Superconducting Quantum Circuits"}],"publication_identifier":{"eissn":["2041-1723"]},"oa":1,"quality_controlled":"1","publication_status":"published","publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"Currently available quantum processors are dominated by noise, which severely limits their applicability and motivates the search for new physical qubit encodings. In this work, we introduce the inductively shunted transmon, a weakly flux-tunable superconducting qubit that offers charge offset protection for all levels and a 20-fold reduction in flux dispersion compared to the state-of-the-art resulting in a constant coherence over a full flux quantum. The parabolic confinement provided by the inductive shunt as well as the linearity of the geometric superinductor facilitates a high-power readout that resolves quantum jumps with a fidelity and QND-ness of >90% and without the need for a Josephson parametric amplifier. Moreover, the device reveals quantum tunneling physics between the two prepared fluxon ground states with a measured average decay time of up to 3.5 h. In the future, fast time-domain control of the transition matrix elements could offer a new path forward to also achieve full qubit control in the decay-protected fluxon basis."}],"corr_author":"1","pmid":1,"file_date_updated":"2023-07-18T08:43:07Z","citation":{"mla":"Hassani, Farid, et al. “Inductively Shunted Transmons Exhibit Noise Insensitive Plasmon States and a Fluxon Decay Exceeding 3 Hours.” <i>Nature Communications</i>, vol. 14, 3968, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s41467-023-39656-2\">10.1038/s41467-023-39656-2</a>.","ieee":"F. Hassani, M. Peruzzo, L. Kapoor, A. Trioni, M. Zemlicka, and J. M. Fink, “Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours,” <i>Nature Communications</i>, vol. 14. Springer Nature, 2023.","chicago":"Hassani, Farid, Matilda Peruzzo, Lucky Kapoor, Andrea Trioni, Martin Zemlicka, and Johannes M Fink. “Inductively Shunted Transmons Exhibit Noise Insensitive Plasmon States and a Fluxon Decay Exceeding 3 Hours.” <i>Nature Communications</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41467-023-39656-2\">https://doi.org/10.1038/s41467-023-39656-2</a>.","apa":"Hassani, F., Peruzzo, M., Kapoor, L., Trioni, A., Zemlicka, M., &#38; Fink, J. M. (2023). Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-023-39656-2\">https://doi.org/10.1038/s41467-023-39656-2</a>","ista":"Hassani F, Peruzzo M, Kapoor L, Trioni A, Zemlicka M, Fink JM. 2023. Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. Nature Communications. 14, 3968.","ama":"Hassani F, Peruzzo M, Kapoor L, Trioni A, Zemlicka M, Fink JM. Inductively shunted transmons exhibit noise insensitive plasmon states and a fluxon decay exceeding 3 hours. <i>Nature Communications</i>. 2023;14. doi:<a href=\"https://doi.org/10.1038/s41467-023-39656-2\">10.1038/s41467-023-39656-2</a>","short":"F. Hassani, M. Peruzzo, L. Kapoor, A. Trioni, M. Zemlicka, J.M. Fink, Nature Communications 14 (2023)."},"related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"17133"}]},"author":[{"last_name":"Hassani","full_name":"Hassani, Farid","orcid":"0000-0001-6937-5773","id":"2AED110C-F248-11E8-B48F-1D18A9856A87","first_name":"Farid"},{"orcid":"0000-0002-3415-4628","id":"3F920B30-F248-11E8-B48F-1D18A9856A87","first_name":"Matilda","full_name":"Peruzzo, Matilda","last_name":"Peruzzo"},{"id":"84b9700b-15b2-11ec-abd3-831089e67615","first_name":"Lucky","orcid":"0000-0001-8319-2148","full_name":"Kapoor, Lucky","last_name":"Kapoor"},{"last_name":"Trioni","full_name":"Trioni, Andrea","first_name":"Andrea","id":"42F71B44-F248-11E8-B48F-1D18A9856A87"},{"id":"2DCF8DE6-F248-11E8-B48F-1D18A9856A87","orcid":"0009-0005-0878-3032","first_name":"Martin","full_name":"Zemlicka, Martin","last_name":"Zemlicka"},{"last_name":"Fink","full_name":"Fink, Johannes M","id":"4B591CBA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8112-028X","first_name":"Johannes M"}]},{"external_id":{"arxiv":["2310.06677"]},"fulldoi":"https://doi.org/10.48550/arXiv.2310.06677","oa_version":"Preprint","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2310.06677"}],"date_created":"2024-06-26T08:56:52Z","_id":"17174","doi":"10.48550/arXiv.2310.06677","article_processing_charge":"No","ec_funded":1,"date_updated":"2026-10-02T11:31:29Z","OA_place":"repository","status":"public","article_number":"2310.06677","department":[{"_id":"LaEr"}],"title":"Prethermalization for deformed Wigner Matrices","month":"12","date_published":"2023-12-23T00:00:00Z","year":"2023","type":"preprint","publication":"arXiv","day":"23","project":[{"grant_number":"101020331","call_identifier":"H2020","_id":"62796744-2b32-11ec-9570-940b20777f1d","name":"Random matrices beyond Wigner-Dyson-Mehta"}],"arxiv":1,"oa":1,"publication_status":"draft","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","abstract":[{"text":"We prove that a class of weakly perturbed Hamiltonians of the form $H_λ= H_0 + λW$, with $W$ being a Wigner matrix, exhibits prethermalization. That is, the time evolution generated by $H_λ$ relaxes to its ultimate thermal state via an intermediate prethermal state with a lifetime of order $λ^{-2}$. Moreover, we obtain a general relaxation formula, expressing the perturbed dynamics via the unperturbed dynamics and the ultimate thermal state. The proof relies on a two-resolvent law for the deformed Wigner matrix $H_λ$.","lang":"eng"}],"corr_author":"1","related_material":{"record":[{"relation":"later_version","status":"public","id":"18764"},{"relation":"dissertation_contains","id":"20575","status":"public"},{"relation":"dissertation_contains","id":"17164","status":"public"}]},"citation":{"ama":"Erdös L, Henheik SJ, Reker J, Riabov V. Prethermalization for deformed Wigner Matrices. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2310.06677\">10.48550/arXiv.2310.06677</a>","short":"L. Erdös, S.J. Henheik, J. Reker, V. Riabov, ArXiv (n.d.).","ista":"Erdös L, Henheik SJ, Reker J, Riabov V. Prethermalization for deformed Wigner Matrices. arXiv, 2310.06677.","apa":"Erdös, L., Henheik, S. J., Reker, J., &#38; Riabov, V. (n.d.). Prethermalization for deformed Wigner Matrices. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2310.06677\">https://doi.org/10.48550/arXiv.2310.06677</a>","mla":"Erdös, László, et al. “Prethermalization for Deformed Wigner Matrices.” <i>ArXiv</i>, 2310.06677, doi:<a href=\"https://doi.org/10.48550/arXiv.2310.06677\">10.48550/arXiv.2310.06677</a>.","ieee":"L. Erdös, S. J. Henheik, J. Reker, and V. Riabov, “Prethermalization for deformed Wigner Matrices,” <i>arXiv</i>. .","chicago":"Erdös, László, Sven Joscha Henheik, Jana Reker, and Volodymyr Riabov. “Prethermalization for Deformed Wigner Matrices.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2310.06677\">https://doi.org/10.48550/arXiv.2310.06677</a>."},"author":[{"full_name":"Erdös, László","last_name":"Erdös","first_name":"László","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5366-9603"},{"first_name":"Sven Joscha","orcid":"0000-0003-1106-327X","id":"31d731d7-d235-11ea-ad11-b50331c8d7fb","last_name":"Henheik","full_name":"Henheik, Sven Joscha"},{"last_name":"Reker","full_name":"Reker, Jana","id":"e796e4f9-dc8d-11ea-abe3-97e26a0323e9","first_name":"Jana"},{"full_name":"Riabov, Volodymyr","last_name":"Riabov","first_name":"Volodymyr","id":"1949f904-edfb-11eb-afb5-e2dfddabb93b"}]},{"abstract":[{"text":"Consider the random variable $\\mathrm{Tr}( f_1(W)A_1\\dots f_k(W)A_k)$ where $W$ is an $N\\times N$ Hermitian Wigner matrix, $k\\in\\mathbb{N}$, and choose (possibly $N$-dependent) regular functions $f_1,\\dots, f_k$ as well as bounded deterministic matrices $A_1,\\dots,A_k$. We give a functional central limit theorem showing that the fluctuations around the expectation are Gaussian. Moreover, we determine the limiting covariance structure and give explicit error bounds in terms of the scaling of $f_1,\\dots,f_k$ and the number of traceless matrices among $A_1,\\dots,A_k$, thus extending the results of [Cipolloni, Erdős, Schröder 2023] to products of arbitrary length $k\\geq2$. As an application, we consider the fluctuation of $\\mathrm{Tr}(\\mathrm{e}^{\\mathrm{i} tW}A_1\\mathrm{e}^{-\\mathrm{i} tW}A_2)$ around its thermal value $\\mathrm{Tr}(A_1)\\mathrm{Tr}(A_2)$ when $t$ is large and give an explicit formula for the variance.","lang":"eng"}],"department":[{"_id":"LaEr"}],"author":[{"first_name":"Jana","id":"e796e4f9-dc8d-11ea-abe3-97e26a0323e9","full_name":"Reker, Jana","last_name":"Reker"}],"related_material":{"record":[{"relation":"later_version","id":"18762","status":"public"},{"relation":"dissertation_contains","id":"17164","status":"public"}]},"article_number":"2307.11028","citation":{"mla":"Reker, Jana. “Multi-Point Functional Central Limit Theorem for Wigner Matrices.” <i>ArXiv</i>, 2307.11028, doi:<a href=\"https://doi.org/10.48550/arXiv.2307.11028\">10.48550/arXiv.2307.11028</a>.","ieee":"J. Reker, “Multi-point functional central limit theorem for Wigner Matrices,” <i>arXiv</i>. .","chicago":"Reker, Jana. “Multi-Point Functional Central Limit Theorem for Wigner Matrices.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2307.11028\">https://doi.org/10.48550/arXiv.2307.11028</a>.","apa":"Reker, J. (n.d.). Multi-point functional central limit theorem for Wigner Matrices. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2307.11028\">https://doi.org/10.48550/arXiv.2307.11028</a>","ista":"Reker J. Multi-point functional central limit theorem for Wigner Matrices. arXiv, 2307.11028.","short":"J. Reker, ArXiv (n.d.).","ama":"Reker J. Multi-point functional central limit theorem for Wigner Matrices. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2307.11028\">10.48550/arXiv.2307.11028</a>"},"status":"public","OA_place":"repository","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2026-10-02T11:31:29Z","publication_status":"draft","doi":"10.48550/arXiv.2307.11028","_id":"17173","article_processing_charge":"No","oa":1,"arxiv":1,"day":"21","publication":"arXiv","date_created":"2024-06-26T08:54:56Z","language":[{"iso":"eng"}],"oa_version":"Preprint","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2307.11028"}],"type":"preprint","year":"2023","fulldoi":"https://doi.org/10.48550/arXiv.2307.11028","external_id":{"arxiv":["2307.11028"]},"month":"07","title":"Multi-point functional central limit theorem for Wigner Matrices","date_published":"2023-07-21T00:00:00Z"},{"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"756502","name":"Circuits of Visual Attention"},{"grant_number":"LT000256","_id":"266D407A-B435-11E9-9278-68D0E5697425","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus"},{"name":"Connecting sensory with motor processing in the superior colliculus","grant_number":"ALTF 1098-2017","_id":"264FEA02-B435-11E9-9278-68D0E5697425"}],"publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"oa":1,"quality_controlled":"1","publication_status":"published","publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types."}],"pmid":1,"corr_author":"1","related_material":{"record":[{"status":"public","id":"12370","relation":"research_data"},{"relation":"dissertation_contains","id":"18574","status":"public"}]},"file_date_updated":"2023-10-04T11:40:51Z","citation":{"ama":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. 2023;26:606-614. doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>","short":"D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614.","ista":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. 26, 606–614.","apa":"Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38; Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>","chicago":"Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>.","mla":"Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023, pp. 606–14, doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>.","ieee":"D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A. Jösch, “Panoramic visual statistics shape retina-wide organization of receptive fields,” <i>Nature Neuroscience</i>, vol. 26. Springer Nature, pp. 606–614, 2023."},"author":[{"first_name":"Divyansh","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7400-6665","full_name":"Gupta, Divyansh","last_name":"Gupta"},{"full_name":"Mlynarski, Wiktor F","last_name":"Mlynarski","first_name":"Wiktor F","id":"358A453A-F248-11E8-B48F-1D18A9856A87"},{"id":"3320A096-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4792-1881","first_name":"Anton L","full_name":"Sumser, Anton L","last_name":"Sumser"},{"orcid":"0000-0003-2012-9947","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga","full_name":"Symonova, Olga","last_name":"Symonova"},{"id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","first_name":"Jan","orcid":"0000-0002-6198-2939","full_name":"Svaton, Jan","last_name":"Svaton"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330","first_name":"Maximilian A","full_name":"Jösch, Maximilian A","last_name":"Jösch"}],"title":"Panoramic visual statistics shape retina-wide organization of receptive fields","month":"04","acknowledgement":"We thank Hiroki Asari for sharing the dataset of naturalistic images, Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings. We also thank Gasper Tkacik and members of the Neuroethology group for their comments on the manuscript. This research was supported by the Scientific Service Units of IST Austria through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European Research Council Starting Grant 756502 (MJ).","date_published":"2023-04-01T00:00:00Z","file":[{"relation":"main_file","success":1,"date_created":"2023-10-04T11:40:51Z","access_level":"open_access","creator":"dernst","file_size":6144866,"content_type":"application/pdf","date_updated":"2023-10-04T11:40:51Z","checksum":"a33d91e398e548f34003170e10988368","file_name":"2023_NatureNeuroscience_Gupta.pdf","file_id":"14395"}],"year":"2023","type":"journal_article","intvolume":"        26","article_type":"original","ddc":["570"],"publication":"Nature Neuroscience","day":"01","_id":"12349","doi":"10.1038/s41593-023-01280-0","ec_funded":1,"article_processing_charge":"Yes (in subscription 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Data for: Panoramic visual statistics shape retina-wide organization of receptive fields","day":"26","ddc":["571"],"type":"research_data","contributor":[{"last_name":"Symonova","contributor_type":"researcher","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga"},{"last_name":"Mlynarski","contributor_type":"researcher","id":"358A453A-F248-11E8-B48F-1D18A9856A87","first_name":"Wiktor F"},{"last_name":"Svaton","id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","first_name":"Jan","contributor_type":"researcher"}],"oa":1,"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"name":"Efficient coding with biophysical realism","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","grant_number":"P34015"},{"name":"Circuits of Visual Attention","grant_number":"756502","call_identifier":"H2020","_id":"2634E9D2-B435-11E9-9278-68D0E5697425"},{"name":"Neuronal networks of salience and spatial detection in 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Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>.","ama":"Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>","short":"D. Gupta, A.L. Sumser, M.A. Jösch, (2023).","mla":"Gupta, Divyansh, et al. <i>Research Data for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>.","ieee":"D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields.” Institute of Science and Technology Austria, 2023.","chicago":"Gupta, Divyansh, Anton L Sumser, and Maximilian A Jösch. “Research Data for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">https://doi.org/10.15479/AT:ISTA:12370</a>.","apa":"Gupta, D., Sumser, A. L., &#38; Jösch, M. A. (2023). Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">https://doi.org/10.15479/AT:ISTA:12370</a>"},"file_date_updated":"2023-01-26T10:51:34Z","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"12349"},{"relation":"used_in_publication","id":"18574","status":"public"}]},"corr_author":"1","abstract":[{"lang":"eng","text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types. "}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Institute of Science and Technology Austria"},{"article_type":"original","intvolume":"       107","type":"journal_article","issue":"6","ddc":["530"],"day":"02","publication":"Physical Review A","month":"06","title":"Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement","date_published":"2023-06-02T00:00:00Z","acknowledgement":"We thank V. Verteletskyi for a joint collaboration on numerical studies of the QAOA during his internship at ISTA that inspired analytic results on TS reported in this work. We acknowledge A. A. Mele and M. Brooks for discussions and D. Egger, P. Love, and D. Wierichs for valuable feedback on the manuscript. S.H.S., R.A.M., and M.S. acknowledge support by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant Agreement No. 850899). R.K. is supported by the SFB BeyondC (Grant No. F7107-N38) and the project QuantumReady (FFG 896217). 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Although numerous heuristic initializations exist, an analytical understanding and performance guarantees for large p remain evasive.We introduce a greedy initialization of QAOA which guarantees improving performance with an increasing number of layers. Our main result is an analytic construction of 2p + 1 transition states—saddle points with a unique negative curvature direction—for QAOA with p + 1 layers that use the local minimum of QAOA with p layers. Transition states connect to new local minima, which are guaranteed to lower the energy compared to the minimum found for p layers. We use the GREEDY procedure to navigate the exponentially increasing with p number of local minima resulting from the recursive application of our analytic construction. The performance of the GREEDY procedure matches available initialization strategies while providing a guarantee for the minimal energy to decrease with an increasing number of layers p. 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American Physical Society. <a href=\"https://doi.org/10.1103/physreva.107.062404\">https://doi.org/10.1103/physreva.107.062404</a>","ieee":"S. Sack, R. A. Medina Ramos, R. Kueng, and M. Serbyn, “Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement,” <i>Physical Review A</i>, vol. 107, no. 6. American Physical Society, 2023.","mla":"Sack, Stefan, et al. “Recursive Greedy Initialization of the Quantum Approximate Optimization Algorithm with Guaranteed Improvement.” <i>Physical Review A</i>, vol. 107, no. 6, 062404, American Physical Society, 2023, doi:<a href=\"https://doi.org/10.1103/physreva.107.062404\">10.1103/physreva.107.062404</a>.","chicago":"Sack, Stefan, Raimel A Medina Ramos, Richard Kueng, and Maksym Serbyn. “Recursive Greedy Initialization of the Quantum Approximate Optimization Algorithm with Guaranteed Improvement.” <i>Physical Review A</i>. American Physical Society, 2023. <a href=\"https://doi.org/10.1103/physreva.107.062404\">https://doi.org/10.1103/physreva.107.062404</a>.","ama":"Sack S, Medina Ramos RA, Kueng R, Serbyn M. Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. <i>Physical Review A</i>. 2023;107(6). doi:<a href=\"https://doi.org/10.1103/physreva.107.062404\">10.1103/physreva.107.062404</a>","short":"S. Sack, R.A. Medina Ramos, R. Kueng, M. Serbyn, Physical Review A 107 (2023).","ista":"Sack S, Medina Ramos RA, Kueng R, Serbyn M. 2023. Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. Physical Review A. 107(6), 062404."},"project":[{"name":"Non-Ergodic Quantum Matter: Universality, Dynamics and Control","call_identifier":"H2020","grant_number":"850899","_id":"23841C26-32DE-11EA-91FC-C7463DDC885E"}],"publication_identifier":{"eissn":["2469-9934"],"issn":["2469-9926"]},"oa":1,"arxiv":1,"quality_controlled":"1","publication_status":"published","language":[{"iso":"eng"}],"oa_version":"Published Version","isi":1,"has_accepted_license":"1","date_created":"2023-06-07T06:57:32Z","volume":107,"fulldoi":"https://doi.org/10.1103/physreva.107.062404","external_id":{"arxiv":["2209.01159"],"isi":["001016927100012"]},"status":"public","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"department":[{"_id":"MaSe"}],"article_number":"062404","doi":"10.1103/physreva.107.062404","_id":"13125","article_processing_charge":"No","ec_funded":1,"scopus_import":"1","date_updated":"2026-10-02T11:36:06Z"},{"publication_status":"draft","arxiv":1,"oa":1,"supplementarymaterial":"no","related_material":{"record":[{"status":"public","id":"18132","relation":"dissertation_contains"}]},"citation":{"chicago":"Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces over Fq(T).” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2306.02718\">https://doi.org/10.48550/arXiv.2306.02718</a>.","ieee":"J. Glas, “Complete intersections of cubic and quadric hypersurfaces over Fq(t),” <i>arXiv</i>. .","mla":"Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces over Fq(T).” <i>ArXiv</i>, 2306.02718, doi:<a href=\"https://doi.org/10.48550/arXiv.2306.02718\">10.48550/arXiv.2306.02718</a>.","apa":"Glas, J. (n.d.). Complete intersections of cubic and quadric hypersurfaces over Fq(t). <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2306.02718\">https://doi.org/10.48550/arXiv.2306.02718</a>","ista":"Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t). arXiv, 2306.02718.","short":"J. Glas, ArXiv (n.d.).","ama":"Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t). <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2306.02718\">10.48550/arXiv.2306.02718</a>"},"author":[{"first_name":"Jakob","id":"d6423cba-dc74-11ea-a0a7-ee61689ff5fb","full_name":"Glas, Jakob","last_name":"Glas"}],"researchdata_availability":"no","abstract":[{"text":"Using a two-dimensional version of the delta method, we establish an asymptotic formula for the number of rational points of bounded height on non-singular complete intersections of cubic and quadric hypersurfaces of dimension at least 23 over Fq(t), provided cha(Fq)>3. Under the same hypotheses, we also verify weak approximation.","lang":"eng"}],"corr_author":"1","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2023","date_published":"2023-06-05T00:00:00Z","title":"Complete intersections of cubic and quadric hypersurfaces over Fq(t)","month":"06","publication":"arXiv","day":"05","type":"preprint","date_updated":"2026-10-02T11:44:29Z","article_processing_charge":"No","_id":"18294","doi":"10.48550/arXiv.2306.02718","article_number":"2306.02718","department":[{"_id":"TiBr"}],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"OA_place":"repository","status":"public","external_id":{"arxiv":["2306.02718"]},"fulldoi":"https://doi.org/10.48550/arXiv.2306.02718","das_tickbox":"0","date_created":"2024-10-10T13:08:05Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2306.02718"}],"oa_version":"Preprint","language":[{"iso":"eng"}]},{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publisher":"Wiley","author":[{"full_name":"Basilico, Bernadette","last_name":"Basilico","first_name":"Bernadette","id":"36035796-5ACA-11E9-A75E-7AF2E5697425","orcid":"0000-0003-1843-3173"},{"last_name":"Ferrucci","full_name":"Ferrucci, Laura","first_name":"Laura"},{"first_name":"Patrizia","last_name":"Ratano","full_name":"Ratano, Patrizia"},{"first_name":"Maria T.","last_name":"Golia","full_name":"Golia, Maria T."},{"first_name":"Alfonso","full_name":"Grimaldi, Alfonso","last_name":"Grimaldi"},{"last_name":"Rosito","full_name":"Rosito, Maria","first_name":"Maria"},{"full_name":"Ferretti, Valentina","last_name":"Ferretti","first_name":"Valentina"},{"first_name":"Ingrid","last_name":"Reverte","full_name":"Reverte, Ingrid"},{"first_name":"Caterina","full_name":"Sanchini, Caterina","last_name":"Sanchini"},{"last_name":"Marrone","full_name":"Marrone, Maria C.","first_name":"Maria C."},{"first_name":"Maria","last_name":"Giubettini","full_name":"Giubettini, Maria"},{"last_name":"De Turris","full_name":"De Turris, Valeria","first_name":"Valeria"},{"last_name":"Salerno","full_name":"Salerno, Debora","first_name":"Debora"},{"last_name":"Garofalo","full_name":"Garofalo, Stefano","first_name":"Stefano"},{"last_name":"St‐Pierre","full_name":"St‐Pierre, Marie‐Kim","first_name":"Marie‐Kim"},{"first_name":"Micael","last_name":"Carrier","full_name":"Carrier, Micael"},{"full_name":"Renzi, Massimiliano","last_name":"Renzi","first_name":"Massimiliano"},{"first_name":"Francesca","last_name":"Pagani","full_name":"Pagani, Francesca"},{"last_name":"Modi","full_name":"Modi, Brijesh","first_name":"Brijesh"},{"last_name":"Raspa","full_name":"Raspa, Marcello","first_name":"Marcello"},{"first_name":"Ferdinando","full_name":"Scavizzi, Ferdinando","last_name":"Scavizzi"},{"first_name":"Cornelius T.","full_name":"Gross, Cornelius T.","last_name":"Gross"},{"first_name":"Silvia","full_name":"Marinelli, Silvia","last_name":"Marinelli"},{"last_name":"Tremblay","full_name":"Tremblay, Marie‐Ève","first_name":"Marie‐Ève"},{"first_name":"Daniele","full_name":"Caprioli, Daniele","last_name":"Caprioli"},{"first_name":"Laura","full_name":"Maggi, Laura","last_name":"Maggi"},{"first_name":"Cristina","last_name":"Limatola","full_name":"Limatola, Cristina"},{"full_name":"Di Angelantonio, Silvia","last_name":"Di Angelantonio","first_name":"Silvia"},{"last_name":"Ragozzino","full_name":"Ragozzino, Davide","first_name":"Davide"}],"file_date_updated":"2022-03-04T08:55:27Z","citation":{"apa":"Basilico, B., Ferrucci, L., Ratano, P., Golia, M. T., Grimaldi, A., Rosito, M., … Ragozzino, D. (2022). Microglia control glutamatergic synapses in the adult mouse hippocampus. <i>Glia</i>. Wiley. <a href=\"https://doi.org/10.1002/glia.24101\">https://doi.org/10.1002/glia.24101</a>","mla":"Basilico, Bernadette, et al. “Microglia Control Glutamatergic Synapses in the Adult Mouse Hippocampus.” <i>Glia</i>, vol. 70, no. 1, Wiley, 2022, pp. 173–95, doi:<a href=\"https://doi.org/10.1002/glia.24101\">10.1002/glia.24101</a>.","chicago":"Basilico, Bernadette, Laura Ferrucci, Patrizia Ratano, Maria T. Golia, Alfonso Grimaldi, Maria Rosito, Valentina Ferretti, et al. “Microglia Control Glutamatergic Synapses in the Adult Mouse Hippocampus.” <i>Glia</i>. Wiley, 2022. <a href=\"https://doi.org/10.1002/glia.24101\">https://doi.org/10.1002/glia.24101</a>.","ieee":"B. Basilico <i>et al.</i>, “Microglia control glutamatergic synapses in the adult mouse hippocampus,” <i>Glia</i>, vol. 70, no. 1. Wiley, pp. 173–195, 2022.","short":"B. Basilico, L. Ferrucci, P. Ratano, M.T. Golia, A. Grimaldi, M. Rosito, V. Ferretti, I. Reverte, C. Sanchini, M.C. Marrone, M. Giubettini, V. De Turris, D. Salerno, S. Garofalo, M. St‐Pierre, M. Carrier, M. Renzi, F. Pagani, B. Modi, M. Raspa, F. Scavizzi, C.T. Gross, S. Marinelli, M. Tremblay, D. Caprioli, L. Maggi, C. Limatola, S. Di Angelantonio, D. Ragozzino, Glia 70 (2022) 173–195.","ama":"Basilico B, Ferrucci L, Ratano P, et al. Microglia control glutamatergic synapses in the adult mouse hippocampus. <i>Glia</i>. 2022;70(1):173-195. doi:<a href=\"https://doi.org/10.1002/glia.24101\">10.1002/glia.24101</a>","ista":"Basilico B, Ferrucci L, Ratano P, Golia MT, Grimaldi A, Rosito M, Ferretti V, Reverte I, Sanchini C, Marrone MC, Giubettini M, De Turris V, Salerno D, Garofalo S, St‐Pierre M, Carrier M, Renzi M, Pagani F, Modi B, Raspa M, Scavizzi F, Gross CT, Marinelli S, Tremblay M, Caprioli D, Maggi L, Limatola C, Di Angelantonio S, Ragozzino D. 2022. Microglia control glutamatergic synapses in the adult mouse hippocampus. Glia. 70(1), 173–195."},"pmid":1,"corr_author":"1","abstract":[{"lang":"eng","text":"Microglia cells are active players in regulating synaptic development and plasticity in the brain. However, how they influence the normal functioning of synapses is largely unknown. In this study, we characterized the effects of pharmacological microglia depletion, achieved by administration of PLX5622, on hippocampal CA3-CA1 synapses of adult wild type mice. Following microglial depletion, we observed a reduction of spontaneous and evoked glutamatergic activity associated with a decrease of dendritic spine density. We also observed the appearance of immature synaptic features and higher levels of plasticity. Microglia depleted mice showed a deficit in the acquisition of the Novel Object Recognition task. These events were accompanied by hippocampal astrogliosis, although in the absence ofneuroinflammatory condition. PLX-induced synaptic changes were absent in Cx3cr1−/− mice, highlighting the role of CX3CL1/CX3CR1 axis in microglia control of synaptic functioning. Remarkably, microglia repopulation after PLX5622 withdrawal was associated with the recovery of hippocampal synapses and learning functions. Altogether, these data demonstrate that microglia contribute to normal synaptic functioning in the adult brain and that their removal induces reversible changes in organization and activity of glutamatergic synapses."}],"oa":1,"publication_identifier":{"issn":["0894-1491"],"eissn":["1098-1136"]},"publication_status":"published","quality_controlled":"1","intvolume":"        70","article_type":"original","type":"journal_article","day":"01","publication":"Glia","issue":"1","ddc":["570"],"file":[{"file_id":"10819","file_name":"2021_Glia_Basilico.pdf","checksum":"f10a897290e66c0a062e04ba91db6c17","date_updated":"2022-03-04T08:55:27Z","content_type":"application/pdf","file_size":5340294,"access_level":"open_access","creator":"dernst","date_created":"2022-03-04T08:55:27Z","relation":"main_file","success":1}],"acknowledgement":"The work was supported by a grant from MIUR (PRIN 2017HPTFFC_003) to Davide Ragozzino and in part by funds to Silvia Di Angelantonio (CrestOptics-IIT JointLab for Advanced Microscopy) and Daniele Caprioli (Istituto Pasteur-Fondazione Cenci Bolognetti). Bernadette Basilico, and Laura Ferrucci were supported by the PhD program in Clinical-Experimental Neuroscience and Psychiatry, Sapienza University, Rome; Caterina Sanchini was supported by the PhD program in Life Science, Sapienza University, Rome and by the Italian Institute of Technology, Rome. The authors thank Alessandro Felici, Claudia Valeri, Arsenio Armagno, and Senthilkumar Deivasigamani for help with animal husbandry and transgenic colonies management. They also wish to thank Piotr Bregestovski and Michal Schwartz for helpful discussions and criticism. PLX5622 was provided under Materials Transfer Agreement by Plexxikon Inc. (Berkeley, CA). Open Access Funding provided by Universita degli Studi di Roma La Sapienza within the CRUI-CARE Agreement.","date_published":"2022-01-01T00:00:00Z","title":"Microglia control glutamatergic synapses in the adult mouse hippocampus","month":"01","year":"2022","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","short":"CC BY-NC (4.0)","image":"/images/cc_by_nc.png"},"status":"public","department":[{"_id":"GaNo"}],"article_processing_charge":"No","doi":"10.1002/glia.24101","_id":"10818","page":"173-195","keyword":["Cellular and Molecular Neuroscience","Neurology"],"date_updated":"2024-10-09T21:04:02Z","scopus_import":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","date_created":"2022-03-04T08:53:37Z","isi":1,"has_accepted_license":"1","fulldoi":"https://doi.org/10.1002/glia.24101","external_id":{"pmid":["34661306"],"isi":["000708025800001"]},"volume":70},{"year":"2022","title":"Effects of streaky structures on the instability of supersonic boundary layers","month":"01","date_published":"2022-01-01T00:00:00Z","acknowledgement":"The work is supported by the National Key Research and Development Program of China (No. 2016YFA0401200), the National Natural Science Foundation of China (Grant Nos. 91952202 and 11402167).","OA_type":"closed access","publication":"IUTAM Laminar-Turbulent Transition","day":"01","type":"conference","intvolume":"        38","quality_controlled":"1","publication_status":"published","publication_identifier":{"eisbn":["9783030679026"],"isbn":["9783030679019"],"issn":["1875-3507"],"eissn":["1875-3493"]},"abstract":[{"lang":"eng","text":"Streaky structures in the boundary layers are often generated by surface roughness elements and/or free-stream turbulence, and are known to have significant effects on boundary-layer instability. In this paper, we investigate the impact of two forms of streaks on the instability of supersonic boundary layers. The first concerns the streaks generated by an array of spanwise periodic and streamwise elongated surface roughness elements, and our interest is how these streaks influence the lower-branch viscous first modes, whose characteristic wavelength and frequency are on the classical triple-deck scales. By adapting the triple-deck theory in the incompressible regime to the supersonic one, we first derived a simplified system which allows for efficient calculation of the streaks. The asymptotic analysis simplifies a bi-global eigenvalue problem to a one-dimensional problem in the spanwise direction, showing that the instability is controlled at leading order solely by the spanwise-dependent wall shear. In the fundamental configuration, the streaks stabilize first modes at low frequencies but destabilize the high-frequency ones. In the subharmonic configuration, the streaks generally destabilize the first mode across the entire frequency band. Importantly, the spanwise even modes are of radiating nature, i.e. they emit acoustic waves spontaneously to the far field. Streaks of the second form are generated by low-frequency vortical disturbances representing free-stream turbulence. They alter the flow in the entire layer and their effects on instability are investigated by solving the inviscid bi-global eigenvalue problem. Different from the incompressible case, a multitude of compressible instability modes exists, of which the dominant mode is an inviscid instability associated with the spanwise shear. In addition, there exists a separate branch of instability modes that have smaller growth rates but are spontaneously radiating."}],"citation":{"mla":"Liu, Jianxin, et al. “Effects of Streaky Structures on the Instability of Supersonic Boundary Layers.” <i>IUTAM Laminar-Turbulent Transition</i>, vol. 38, Springer Nature, 2022, pp. 587–98, doi:<a href=\"https://doi.org/10.1007/978-3-030-67902-6_51\">10.1007/978-3-030-67902-6_51</a>.","chicago":"Liu, Jianxin, Elena Marensi, and Xuesong Wu. “Effects of Streaky Structures on the Instability of Supersonic Boundary Layers.” In <i>IUTAM Laminar-Turbulent Transition</i>, 38:587–98. Springer Nature, 2022. <a href=\"https://doi.org/10.1007/978-3-030-67902-6_51\">https://doi.org/10.1007/978-3-030-67902-6_51</a>.","ieee":"J. Liu, E. Marensi, and X. Wu, “Effects of streaky structures on the instability of supersonic boundary layers,” in <i>IUTAM Laminar-Turbulent Transition</i>, London, United Kingdom, 2022, vol. 38, pp. 587–598.","apa":"Liu, J., Marensi, E., &#38; Wu, X. (2022). Effects of streaky structures on the instability of supersonic boundary layers. In <i>IUTAM Laminar-Turbulent Transition</i> (Vol. 38, pp. 587–598). London, United Kingdom: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-67902-6_51\">https://doi.org/10.1007/978-3-030-67902-6_51</a>","ista":"Liu J, Marensi E, Wu X. 2022. Effects of streaky structures on the instability of supersonic boundary layers. IUTAM Laminar-Turbulent Transition. IUTAM Symposium, IUTAM, vol. 38, 587–598.","short":"J. Liu, E. Marensi, X. Wu, in:, IUTAM Laminar-Turbulent Transition, Springer Nature, 2022, pp. 587–598.","ama":"Liu J, Marensi E, Wu X. Effects of streaky structures on the instability of supersonic boundary layers. In: <i>IUTAM Laminar-Turbulent Transition</i>. Vol 38. Springer Nature; 2022:587-598. doi:<a href=\"https://doi.org/10.1007/978-3-030-67902-6_51\">10.1007/978-3-030-67902-6_51</a>"},"author":[{"first_name":"Jianxin","full_name":"Liu, Jianxin","last_name":"Liu"},{"id":"0BE7553A-1004-11EA-B805-18983DDC885E","orcid":"0000-0001-7173-4923","first_name":"Elena","last_name":"Marensi","full_name":"Marensi, Elena"},{"last_name":"Wu","full_name":"Wu, Xuesong","first_name":"Xuesong"}],"publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","alternative_title":["IUTAM"],"volume":38,"external_id":{"isi":["000709087600051"]},"fulldoi":"https://doi.org/10.1007/978-3-030-67902-6_51","isi":1,"date_created":"2022-03-04T09:14:34Z","oa_version":"None","language":[{"iso":"eng"}],"scopus_import":"1","date_updated":"2025-05-20T06:08:26Z","page":"587-598","doi":"10.1007/978-3-030-67902-6_51","_id":"10820","conference":{"start_date":"2019-09-02","end_date":"2019-09-06","name":"IUTAM Symposium","location":"London, United Kingdom"},"article_processing_charge":"No","department":[{"_id":"BjHo"}],"status":"public"},{"fulldoi":"https://doi.org/10.1016/j.cell.2022.01.022","external_id":{"isi":["000796293700007"],"pmid":["35196500"]},"volume":185,"date_created":"2022-03-06T23:01:52Z","isi":1,"has_accepted_license":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","page":"777-793.e20","date_updated":"2025-07-10T11:50:00Z","scopus_import":"1","ec_funded":1,"article_processing_charge":"No","_id":"10825","doi":"10.1016/j.cell.2022.01.022","department":[{"_id":"EdHa"}],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"status":"public","year":"2022","acknowledgement":"We are grateful to H. Niwa for Dox regulatable PB vector; G. Charras for EzrinT567D cDNA; K. Jones for tdTomato ESCs, R26-Confetti ESCs, and laboratory assistance; M. Kinoshita for pPB-CAG-H2B-BFP plasmid; P. Humphreys and D. Clements for imaging support; G. Chu, P. Attlesey, and staff for animal husbandry; S. Pallett for laboratory assistance; C. Mulas for critical feedback on the project; T. Boroviak for single-cell RNA-seq; the EMBL Genomics Core Facility for sequencing; and M. Merkel for developing and sharing the original version of the 3D Voronoi code. This work was financially supported by BBSRC ( BB/Moo4023/1 and BB/T007044/1 to K.J.C. and J.N., Alert16 grant BB/R000042 to E.K.P.), Leverhulme Trust ( RPG-2014-080 to K.J.C. and J.N.), European Research Council ( 772798 -CellFateTech to K.J.C., 311637 -MorphoCorDiv and 820188 -NanoMechShape to E.K.P., Starting Grant 851288 to E.H., and 772426 -MeChemGui to K.F.), the Isaac Newton Trust (to E.K.P.), Medical Research Council UK (MRC program award MC_UU_00012/5 to E.K.P.), the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 641639 ( ITN Biopol , H.D.B. and E.K.P.), the Alexander von Humboldt Foundation (Alexander von Humboldt Professorship to K.F.), EMBO ALTF 522-2021 (to P.S.), Centre for Trophoblast Research (Next Generation fellowship to S.A.), and JSPS Overseas Research Fellowships (to A.Y.). The Wellcome-MRC Cambridge Stem Cell Institute receives core funding from Wellcome Trust ( 203151/Z/16/Z ) and MRC ( MC_PC_17230 ). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.","file":[{"access_level":"open_access","creator":"dernst","date_created":"2022-03-07T07:55:23Z","relation":"main_file","success":1,"file_id":"10831","checksum":"ae305060e8031297771b89dae9e36a29","file_name":"2022_Cell_Yanagida.pdf","date_updated":"2022-03-07T07:55:23Z","content_type":"application/pdf","file_size":8478995}],"date_published":"2022-02-22T00:00:00Z","title":"Cell surface fluctuations regulate early embryonic lineage sorting","month":"02","day":"22","publication":"Cell","issue":"5","ddc":["570"],"intvolume":"       185","article_type":"original","type":"journal_article","publication_status":"published","quality_controlled":"1","oa":1,"project":[{"call_identifier":"H2020","grant_number":"851288","_id":"05943252-7A3F-11EA-A408-12923DDC885E","name":"Design Principles of Branching Morphogenesis"}],"publication_identifier":{"issn":["0092-8674"],"eissn":["1097-4172"]},"author":[{"first_name":"Ayaka","last_name":"Yanagida","full_name":"Yanagida, Ayaka"},{"first_name":"Elena","full_name":"Corujo-Simon, Elena","last_name":"Corujo-Simon"},{"first_name":"Christopher K.","last_name":"Revell","full_name":"Revell, Christopher K."},{"id":"55BA52EE-A185-11EA-88FD-18AD3DDC885E","first_name":"Preeti","last_name":"Sahu","full_name":"Sahu, Preeti"},{"full_name":"Stirparo, Giuliano G.","last_name":"Stirparo","first_name":"Giuliano G."},{"last_name":"Aspalter","full_name":"Aspalter, Irene M.","first_name":"Irene M."},{"first_name":"Alex K.","last_name":"Winkel","full_name":"Winkel, Alex K."},{"last_name":"Peters","full_name":"Peters, Ruby","first_name":"Ruby"},{"first_name":"Henry","full_name":"De Belly, Henry","last_name":"De Belly"},{"full_name":"Cassani, Davide A.D.","last_name":"Cassani","first_name":"Davide A.D."},{"full_name":"Achouri, Sarra","last_name":"Achouri","first_name":"Sarra"},{"full_name":"Blumenfeld, Raphael","last_name":"Blumenfeld","first_name":"Raphael"},{"first_name":"Kristian","full_name":"Franze, Kristian","last_name":"Franze"},{"last_name":"Hannezo","full_name":"Hannezo, Edouard B","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","first_name":"Edouard B","orcid":"0000-0001-6005-1561"},{"first_name":"Ewa K.","last_name":"Paluch","full_name":"Paluch, Ewa K."},{"last_name":"Nichols","full_name":"Nichols, Jennifer","first_name":"Jennifer"},{"first_name":"Kevin J.","full_name":"Chalut, Kevin J.","last_name":"Chalut"}],"file_date_updated":"2022-03-07T07:55:23Z","citation":{"ama":"Yanagida A, Corujo-Simon E, Revell CK, et al. Cell surface fluctuations regulate early embryonic lineage sorting. <i>Cell</i>. 2022;185(5):777-793.e20. doi:<a href=\"https://doi.org/10.1016/j.cell.2022.01.022\">10.1016/j.cell.2022.01.022</a>","short":"A. Yanagida, E. Corujo-Simon, C.K. Revell, P. Sahu, G.G. Stirparo, I.M. Aspalter, A.K. Winkel, R. Peters, H. De Belly, D.A.D. Cassani, S. Achouri, R. Blumenfeld, K. Franze, E.B. Hannezo, E.K. Paluch, J. Nichols, K.J. Chalut, Cell 185 (2022) 777–793.e20.","ista":"Yanagida A, Corujo-Simon E, Revell CK, Sahu P, Stirparo GG, Aspalter IM, Winkel AK, Peters R, De Belly H, Cassani DAD, Achouri S, Blumenfeld R, Franze K, Hannezo EB, Paluch EK, Nichols J, Chalut KJ. 2022. Cell surface fluctuations regulate early embryonic lineage sorting. Cell. 185(5), 777–793.e20.","apa":"Yanagida, A., Corujo-Simon, E., Revell, C. K., Sahu, P., Stirparo, G. G., Aspalter, I. M., … Chalut, K. J. (2022). Cell surface fluctuations regulate early embryonic lineage sorting. <i>Cell</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.cell.2022.01.022\">https://doi.org/10.1016/j.cell.2022.01.022</a>","mla":"Yanagida, Ayaka, et al. “Cell Surface Fluctuations Regulate Early Embryonic Lineage Sorting.” <i>Cell</i>, vol. 185, no. 5, Cell Press, 2022, p. 777–793.e20, doi:<a href=\"https://doi.org/10.1016/j.cell.2022.01.022\">10.1016/j.cell.2022.01.022</a>.","chicago":"Yanagida, Ayaka, Elena Corujo-Simon, Christopher K. Revell, Preeti Sahu, Giuliano G. Stirparo, Irene M. Aspalter, Alex K. Winkel, et al. “Cell Surface Fluctuations Regulate Early Embryonic Lineage Sorting.” <i>Cell</i>. Cell Press, 2022. <a href=\"https://doi.org/10.1016/j.cell.2022.01.022\">https://doi.org/10.1016/j.cell.2022.01.022</a>.","ieee":"A. Yanagida <i>et al.</i>, “Cell surface fluctuations regulate early embryonic lineage sorting,” <i>Cell</i>, vol. 185, no. 5. Cell Press, p. 777–793.e20, 2022."},"pmid":1,"abstract":[{"text":"In development, lineage segregation is coordinated in time and space. An important example is the mammalian inner cell mass, in which the primitive endoderm (PrE, founder of the yolk sac) physically segregates from the epiblast (EPI, founder of the fetus). While the molecular requirements have been well studied, the physical mechanisms determining spatial segregation between EPI and PrE remain elusive. Here, we investigate the mechanical basis of EPI and PrE sorting. We find that rather than the differences in static cell surface mechanical parameters as in classical sorting models, it is the differences in surface fluctuations that robustly ensure physical lineage sorting. These differential surface fluctuations systematically correlate with differential cellular fluidity, which we propose together constitute a non-equilibrium sorting mechanism for EPI and PrE lineages. By combining experiments and modeling, we identify cell surface dynamics as a key factor orchestrating the correct spatial segregation of the founder embryonic lineages.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Cell Press"},{"scopus_import":"1","date_updated":"2026-04-02T12:45:39Z","_id":"10826","doi":"10.7554/eLife.68040","article_processing_charge":"No","department":[{"_id":"MaDe"}],"article_number":"e68040","status":"public","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"}],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"volume":11,"fulldoi":"https://doi.org/10.7554/eLife.68040","external_id":{"isi":["000763432300001"],"pmid":["35201977"]},"isi":1,"has_accepted_license":"1","date_created":"2022-03-06T23:01:52Z","language":[{"iso":"eng"}],"oa_version":"Published Version","quality_controlled":"1","publication_status":"published","publication_identifier":{"eissn":["2050-084X"]},"project":[{"name":"Molecular mechanisms of neural circuit function","grant_number":"209504/A/17/Z","_id":"23870BE8-32DE-11EA-91FC-C7463DDC885E"}],"oa":1,"pmid":1,"corr_author":"1","abstract":[{"lang":"eng","text":"Animals that lose one sensory modality often show augmented responses to other sensory inputs. The mechanisms underpinning this cross-modal plasticity are poorly understood. We probe such mechanisms by performing a forward genetic screen for mutants with enhanced O2 perception in Caenorhabditis elegans. Multiple mutants exhibiting increased O2 responsiveness concomitantly show defects in other sensory responses. One mutant, qui-1, defective in a conserved NACHT/WD40 protein, abolishes pheromone-evoked Ca2+ responses in the ADL pheromone-sensing neurons. At the same time, ADL responsiveness to pre-synaptic input from O2-sensing neurons is heightened in qui-1, and other sensory defective mutants, resulting in enhanced neurosecretion although not increased Ca2+ responses. Expressing qui-1 selectively in ADL rescues both the qui-1 ADL neurosecretory phenotype and enhanced escape from 21% O2. Profiling ADL neurons in qui-1 mutants highlights extensive changes in gene expression, notably of many neuropeptide receptors. We show that elevated ADL expression of the conserved neuropeptide receptor NPR-22 is necessary for enhanced ADL neurosecretion in qui-1 mutants, and is sufficient to confer increased ADL neurosecretion in control animals. Sensory loss can thus confer cross-modal plasticity by changing the peptidergic connectome."}],"author":[{"full_name":"Valperga, Giulio","last_name":"Valperga","id":"67F289DE-0D8F-11EA-9BDD-54AE3DDC885E","orcid":"0000-0001-6726-3890","first_name":"Giulio"},{"first_name":"Mario","orcid":"0000-0001-8347-0443","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87","full_name":"De Bono, Mario","last_name":"De Bono"}],"citation":{"ama":"Valperga G, de Bono M. Impairing one sensory modality enhances another by reconfiguring peptidergic signalling in Caenorhabditis elegans. <i>eLife</i>. 2022;11. doi:<a href=\"https://doi.org/10.7554/eLife.68040\">10.7554/eLife.68040</a>","short":"G. Valperga, M. de Bono, ELife 11 (2022).","ista":"Valperga G, de Bono M. 2022. Impairing one sensory modality enhances another by reconfiguring peptidergic signalling in Caenorhabditis elegans. eLife. 11, e68040.","apa":"Valperga, G., &#38; de Bono, M. (2022). Impairing one sensory modality enhances another by reconfiguring peptidergic signalling in Caenorhabditis elegans. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/eLife.68040\">https://doi.org/10.7554/eLife.68040</a>","chicago":"Valperga, Giulio, and Mario de Bono. “Impairing One Sensory Modality Enhances Another by Reconfiguring Peptidergic Signalling in Caenorhabditis Elegans.” <i>ELife</i>. eLife Sciences Publications, 2022. <a href=\"https://doi.org/10.7554/eLife.68040\">https://doi.org/10.7554/eLife.68040</a>.","ieee":"G. Valperga and M. de Bono, “Impairing one sensory modality enhances another by reconfiguring peptidergic signalling in Caenorhabditis elegans,” <i>eLife</i>, vol. 11. eLife Sciences Publications, 2022.","mla":"Valperga, Giulio, and Mario de Bono. “Impairing One Sensory Modality Enhances Another by Reconfiguring Peptidergic Signalling in Caenorhabditis Elegans.” <i>ELife</i>, vol. 11, e68040, eLife Sciences Publications, 2022, doi:<a href=\"https://doi.org/10.7554/eLife.68040\">10.7554/eLife.68040</a>."},"file_date_updated":"2022-03-07T07:39:25Z","publisher":"eLife Sciences Publications","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","year":"2022","title":"Impairing one sensory modality enhances another by reconfiguring peptidergic signalling in Caenorhabditis elegans","month":"02","file":[{"date_created":"2022-03-07T07:39:25Z","creator":"dernst","access_level":"open_access","success":1,"relation":"main_file","date_updated":"2022-03-07T07:39:25Z","checksum":"cc1b9bf866d0f61f965556e0dd03d3ac","file_name":"2022_eLife_Valperga.pdf","file_id":"10830","file_size":4095591,"content_type":"application/pdf"}],"date_published":"2022-02-24T00:00:00Z","acknowledgement":"We would like to thank Gemma Chandratillake and Merav Cohen for identifying mutants and José David Moñino Sánchez for his help on neurosecretion assays. We are grateful to Kaveh Ashrafi (UCSF), Piali Sengupta (Brandeis), and the Caenorhabditis Genetic Center (funded by National Institutes of Health Infrastructure Program P40 OD010440) for strains and reagents ... and Rebecca Butcher (Univ. Florida) for C9 pheromone. We thank Tim Stevens, Paula Freire-Pritchett, Alastair Crisp, GurpreetGhattaoraya, and Fabian Amman for help with bioinformatic analysis, Ekaterina Lashmanova for help with injections, Iris Hardege for strains, and Isabel Beets (KU Leuven) and members of the de Bono Lab for comments on the manuscript. We thank the CRUK Cambridge Research Institute Genomics Core for next generation sequencing and the Flow Cytometry Facility at LMB for FACS. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by the Bioimaging Facility (BIF), the Life Science Facility (LSF) and Scientific Computing (SciCo-p– Bioinformatics).\r\nThis work was supported by the Medical Research Council UK (Studentship to GV), an\r\nAdvanced ERC grant (269,058 ACMO to MdB), and a Wellcome Investigator Award (209504/Z/17/Z to MdB).","ddc":["570"],"day":"24","publication":"eLife","intvolume":"        11","article_type":"original","type":"journal_article"},{"volume":7,"external_id":{"pmid":["35134289"],"isi":["000765113000016"]},"fulldoi":"https://doi.org/10.1021/acssensors.1c02313","oa_version":"Published Version","language":[{"iso":"eng"}],"has_accepted_license":"1","isi":1,"date_created":"2022-03-06T23:01:54Z","_id":"10829","doi":"10.1021/acssensors.1c02313","article_processing_charge":"No","scopus_import":"1","date_updated":"2026-04-02T12:33:46Z","page":"504-512","status":"public","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"department":[{"_id":"MaIb"}],"title":"Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device","month":"02","acknowledgement":"This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 813863-\r\nBORGES. Additionally, we gratefully acknowledge the financial support from the Austrian Research Promotion Agency (FFG; 870025 and 873541) for this research. The data that support the findings of this study are openly available in Zenodo (DOI: 10.5281/zenodo.5500360)","date_published":"2022-02-08T00:00:00Z","file":[{"date_created":"2022-03-07T08:15:01Z","creator":"dernst","access_level":"open_access","success":1,"relation":"main_file","file_name":"2022_ACSSensors_Hasler.pdf","checksum":"d704af7262cd484da9bb84b7d84e2b09","file_id":"10832","date_updated":"2022-03-07T08:15:01Z","file_size":2969415,"content_type":"application/pdf"}],"year":"2022","type":"journal_article","article_type":"original","intvolume":"         7","issue":"2","ddc":["540"],"publication":"ACS Sensors","day":"08","publication_identifier":{"eissn":["2379-3694"]},"oa":1,"quality_controlled":"1","publication_status":"published","publisher":"American Chemical Society","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","abstract":[{"text":"A novel multivariable system, combining a transistor with fiber optic-based surface plasmon resonance spectroscopy with the gate electrode simultaneously acting as the fiber optic sensor surface, is reported. The dual-mode sensor allows for discrimination of mass and charge contributions for binding assays on the same sensor surface. Furthermore, we optimize the sensor geometry by investigating the influence of the fiber area to transistor channel area ratio and distance. We show that larger fiber optic tip diameters are favorable for electronic and optical signals and demonstrate the reversibility of plasmon resonance wavelength shifts after electric field application. As a proof of principle, a layer-by-layer assembly of polyelectrolytes is performed to benchmark the system against multivariable sensing platforms with planar surface plasmon resonance configurations. Furthermore, the biosensing performance is assessed using a thrombin binding assay with surface-immobilized aptamers as receptors, allowing for the detection of medically relevant thrombin concentrations.","lang":"eng"}],"pmid":1,"file_date_updated":"2022-03-07T08:15:01Z","related_material":{"record":[{"status":"public","id":"10833","relation":"research_data"}]},"citation":{"mla":"Hasler, Roger, et al. “Field-Effect Transistor with a Plasmonic Fiber Optic Gate Electrode as a Multivariable Biosensor Device.” <i>ACS Sensors</i>, vol. 7, no. 2, American Chemical Society, 2022, pp. 504–12, doi:<a href=\"https://doi.org/10.1021/acssensors.1c02313\">10.1021/acssensors.1c02313</a>.","chicago":"Hasler, Roger, Ciril Reiner-Rozman, Stefan Fossati, Patrik Aspermair, Jakub Dostalek, Seungho Lee, Maria Ibáñez, Johannes Bintinger, and Wolfgang Knoll. “Field-Effect Transistor with a Plasmonic Fiber Optic Gate Electrode as a Multivariable Biosensor Device.” <i>ACS Sensors</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/acssensors.1c02313\">https://doi.org/10.1021/acssensors.1c02313</a>.","ieee":"R. Hasler <i>et al.</i>, “Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device,” <i>ACS Sensors</i>, vol. 7, no. 2. American Chemical Society, pp. 504–512, 2022.","apa":"Hasler, R., Reiner-Rozman, C., Fossati, S., Aspermair, P., Dostalek, J., Lee, S., … Knoll, W. (2022). Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device. <i>ACS Sensors</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acssensors.1c02313\">https://doi.org/10.1021/acssensors.1c02313</a>","ista":"Hasler R, Reiner-Rozman C, Fossati S, Aspermair P, Dostalek J, Lee S, Ibáñez M, Bintinger J, Knoll W. 2022. Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device. ACS Sensors. 7(2), 504–512.","short":"R. Hasler, C. Reiner-Rozman, S. Fossati, P. Aspermair, J. Dostalek, S. Lee, M. Ibáñez, J. Bintinger, W. Knoll, ACS Sensors 7 (2022) 504–512.","ama":"Hasler R, Reiner-Rozman C, Fossati S, et al. Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device. <i>ACS Sensors</i>. 2022;7(2):504-512. doi:<a href=\"https://doi.org/10.1021/acssensors.1c02313\">10.1021/acssensors.1c02313</a>"},"author":[{"last_name":"Hasler","full_name":"Hasler, Roger","first_name":"Roger"},{"last_name":"Reiner-Rozman","full_name":"Reiner-Rozman, Ciril","first_name":"Ciril"},{"first_name":"Stefan","last_name":"Fossati","full_name":"Fossati, Stefan"},{"last_name":"Aspermair","full_name":"Aspermair, Patrik","first_name":"Patrik"},{"first_name":"Jakub","last_name":"Dostalek","full_name":"Dostalek, Jakub"},{"last_name":"Lee","full_name":"Lee, Seungho","first_name":"Seungho","id":"BB243B88-D767-11E9-B658-BC13E6697425","orcid":"0000-0002-6962-8598"},{"full_name":"Ibáñez, Maria","last_name":"Ibáñez","first_name":"Maria","orcid":"0000-0001-5013-2843","id":"43C61214-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Johannes","full_name":"Bintinger, Johannes","last_name":"Bintinger"},{"first_name":"Wolfgang","last_name":"Knoll","full_name":"Knoll, Wolfgang"}]},{"oa_version":"Published Version","type":"research_data_reference","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.5500360"}],"ddc":["540"],"date_created":"2022-03-07T08:19:11Z","day":"08","month":"02","title":"Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device","date_published":"2022-02-08T00:00:00Z","fulldoi":"https://doi.org/10.5281/ZENODO.5500360","year":"2022","publisher":"Zenodo","status":"public","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","abstract":[{"lang":"eng","text":"Detailed information about the data set see \"dataset description.txt\" file."}],"citation":{"ista":"Hasler R, Reiner-Rozman C, Fossati S, Aspermair P, Dostalek J, Lee S, Ibáñez M, Bintinger J, Knoll W. 2022. Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.5500360\">10.5281/ZENODO.5500360</a>.","short":"R. Hasler, C. Reiner-Rozman, S. Fossati, P. Aspermair, J. Dostalek, S. Lee, M. Ibáñez, J. Bintinger, W. Knoll, (2022).","ama":"Hasler R, Reiner-Rozman C, Fossati S, et al. Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device. 2022. doi:<a href=\"https://doi.org/10.5281/ZENODO.5500360\">10.5281/ZENODO.5500360</a>","mla":"Hasler, Roger, et al. <i>Field-Effect Transistor with a Plasmonic Fiber Optic Gate Electrode as a Multivariable Biosensor Device</i>. Zenodo, 2022, doi:<a href=\"https://doi.org/10.5281/ZENODO.5500360\">10.5281/ZENODO.5500360</a>.","chicago":"Hasler, Roger, Ciril Reiner-Rozman, Stefan Fossati, Patrik Aspermair, Jakub Dostalek, Seungho Lee, Maria Ibáñez, Johannes Bintinger, and Wolfgang Knoll. “Field-Effect Transistor with a Plasmonic Fiber Optic Gate Electrode as a Multivariable Biosensor Device.” Zenodo, 2022. <a href=\"https://doi.org/10.5281/ZENODO.5500360\">https://doi.org/10.5281/ZENODO.5500360</a>.","ieee":"R. Hasler <i>et al.</i>, “Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device.” Zenodo, 2022.","apa":"Hasler, R., Reiner-Rozman, C., Fossati, S., Aspermair, P., Dostalek, J., Lee, S., … Knoll, W. (2022). Field-effect transistor with a plasmonic fiber optic gate electrode as a multivariable biosensor device. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.5500360\">https://doi.org/10.5281/ZENODO.5500360</a>"},"related_material":{"record":[{"status":"public","id":"10829","relation":"used_in_publication"}]},"author":[{"last_name":"Hasler","full_name":"Hasler, Roger","first_name":"Roger"},{"first_name":"Ciril","full_name":"Reiner-Rozman, Ciril","last_name":"Reiner-Rozman"},{"full_name":"Fossati, Stefan","last_name":"Fossati","first_name":"Stefan"},{"full_name":"Aspermair, Patrik","last_name":"Aspermair","first_name":"Patrik"},{"first_name":"Jakub","full_name":"Dostalek, Jakub","last_name":"Dostalek"},{"full_name":"Lee, Seungho","last_name":"Lee","orcid":"0000-0002-6962-8598","id":"BB243B88-D767-11E9-B658-BC13E6697425","first_name":"Seungho"},{"orcid":"0000-0001-5013-2843","first_name":"Maria","id":"43C61214-F248-11E8-B48F-1D18A9856A87","full_name":"Ibáñez, Maria","last_name":"Ibáñez"},{"full_name":"Bintinger, Johannes","last_name":"Bintinger","first_name":"Johannes"},{"full_name":"Knoll, Wolfgang","last_name":"Knoll","first_name":"Wolfgang"}],"department":[{"_id":"MaIb"}],"_id":"10833","doi":"10.5281/ZENODO.5500360","oa":1,"article_processing_charge":"No","date_updated":"2026-04-02T12:33:44Z"}]